In order to increase the diversity of the training dataset to improve the robustness of the trained model [1]}, we perform the following basic augmentation techniques: we resize all images to 112x112 resolution (this is done to speed up the experiments), rotate the images by up to 45 degrees, translate by up to [-0.15, 0.15], and scale by [0.85, 1.15].
